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Visual Sonification is the process of converting visual properties of objects into sound signals. This paper describes the Michigan Visual Sonification System (MVSS) that utilizes this process to assist the visually impaired in distinguishing different objects in their surroundings. MVSS uses depth information to first segment and localize salient objects and then represents an object's appearance...
In the digital geometric technologies, Mesh segmentation is an important part and is actively researched now. We present a meaningful automatic mesh segmentation algorithm based on the minimum rule, the short-cut rule, and the part salience test from the cognitive theory. To find the candidate contours, we first extract features by using the minimum rule, and then the open contours are prioritized...
We present a method for segmentation of articulated 3D shapes by incorporating the motion information obtained from time-varying models. We assume that the articulated shape is given in the form of a mesh sequence with fixed connectivity so that the inter-frame vertex correspondences, hence the vertex movements, are known a priori. We use different postures of an articulated shape in multiple frames...
3D surface reconstruction using the half maximum height (HMH) algorithm is a method to extract a surface of interest from a voxel data set. It is based on the original HMH method applied to each voxel of the segmented surface to reconstruct. From a 3D voxel grid, an initial segmentation is computed to extract a discrete surface of interest. For each of these voxels, HMH computes a segmentation and...
3D visualization and segmentation of organs in abdominal volume images are important in medical image processing for applications such as diagnosis, treatment and surgical planning. However, the abdominal wall leads to difficulties in both visualization and segmentation. These difficulties can be eliminated by removing the abdominal wall. This paper presents an algorithm that removes abdominal wall...
In this paper, we describe a novel video shot retrieval where each shot is separated into multiple video cubes. Therefore, every video shot can be represented by a linear combination of video cubes, which are used to calculate the similarity measurements among video shots in terms of video cube similarity. The position of a voxel in a cube is characterized with (x, y, t) 3D coordinates and the spatial-temporal...
3D object reconstruction from images involves two important parts: object identification and object modeling. Human beings are very adept at automatically identifying different objects in a scene due to the extensive training they receive over their lifetimes. Similarly, machines need to be trained to perform this task. At present, automated 3D object identification process from aerial video imagery...
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